1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
|
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
context("functions in utils.R")
# JavaSparkContext handle
sc <- sparkR.init()
test_that("convertJListToRList() gives back (deserializes) the original JLists
of strings and integers", {
# It's hard to manually create a Java List using rJava, since it does not
# support generics well. Instead, we rely on collect() returning a
# JList.
nums <- as.list(1:10)
rdd <- parallelize(sc, nums, 1L)
jList <- callJMethod(rdd@jrdd, "collect")
rList <- convertJListToRList(jList, flatten = TRUE)
expect_equal(rList, nums)
strs <- as.list("hello", "spark")
rdd <- parallelize(sc, strs, 2L)
jList <- callJMethod(rdd@jrdd, "collect")
rList <- convertJListToRList(jList, flatten = TRUE)
expect_equal(rList, strs)
})
test_that("serializeToBytes on RDD", {
# File content
mockFile <- c("Spark is pretty.", "Spark is awesome.")
fileName <- tempfile(pattern = "spark-test", fileext = ".tmp")
writeLines(mockFile, fileName)
text.rdd <- textFile(sc, fileName)
expect_equal(getSerializedMode(text.rdd), "string")
ser.rdd <- serializeToBytes(text.rdd)
expect_equal(collect(ser.rdd), as.list(mockFile))
expect_equal(getSerializedMode(ser.rdd), "byte")
unlink(fileName)
})
test_that("cleanClosure on R functions", {
y <- c(1, 2, 3)
g <- function(x) { x + 1 }
f <- function(x) { g(x) + y }
newF <- cleanClosure(f)
env <- environment(newF)
expect_equal(length(ls(env)), 2) # y, g
actual <- get("y", envir = env, inherits = FALSE)
expect_equal(actual, y)
actual <- get("g", envir = env, inherits = FALSE)
expect_equal(actual, g)
# Test for nested enclosures and package variables.
env2 <- new.env()
funcEnv <- new.env(parent = env2)
f <- function(x) { log(g(x) + y) }
environment(f) <- funcEnv # enclosing relationship: f -> funcEnv -> env2 -> .GlobalEnv
newF <- cleanClosure(f)
env <- environment(newF)
expect_equal(length(ls(env)), 2) # "min" should not be included
actual <- get("y", envir = env, inherits = FALSE)
expect_equal(actual, y)
actual <- get("g", envir = env, inherits = FALSE)
expect_equal(actual, g)
base <- c(1, 2, 3)
l <- list(field = matrix(1))
field <- matrix(2)
defUse <- 3
g <- function(x) { x + y }
f <- function(x) {
defUse <- base::as.integer(x) + 1 # Test for access operators `::`.
lapply(x, g) + 1 # Test for capturing function call "g"'s closure as a argument of lapply.
l$field[1, 1] <- 3 # Test for access operators `$`.
res <- defUse + l$field[1, ] # Test for def-use chain of "defUse", and "" symbol.
f(res) # Test for recursive calls.
}
newF <- cleanClosure(f)
env <- environment(newF)
# TODO(shivaram): length(ls(env)) is 4 here for some reason and `lapply` is included in `env`.
# Disabling this test till we debug this.
#
# nolint start
# expect_equal(length(ls(env)), 3) # Only "g", "l" and "f". No "base", "field" or "defUse".
# nolint end
expect_true("g" %in% ls(env))
expect_true("l" %in% ls(env))
expect_true("f" %in% ls(env))
expect_equal(get("l", envir = env, inherits = FALSE), l)
# "y" should be in the environemnt of g.
newG <- get("g", envir = env, inherits = FALSE)
env <- environment(newG)
expect_equal(length(ls(env)), 1)
actual <- get("y", envir = env, inherits = FALSE)
expect_equal(actual, y)
# Test for function (and variable) definitions.
f <- function(x) {
g <- function(y) { y * 2 }
g(x)
}
newF <- cleanClosure(f)
env <- environment(newF)
expect_equal(length(ls(env)), 0) # "y" and "g" should not be included.
# Test for overriding variables in base namespace (Issue: SparkR-196).
nums <- as.list(1:10)
rdd <- parallelize(sc, nums, 2L)
t <- 4 # Override base::t in .GlobalEnv.
f <- function(x) { x > t }
newF <- cleanClosure(f)
env <- environment(newF)
expect_equal(ls(env), "t")
expect_equal(get("t", envir = env, inherits = FALSE), t)
actual <- collect(lapply(rdd, f))
expected <- as.list(c(rep(FALSE, 4), rep(TRUE, 6)))
expect_equal(actual, expected)
# Test for broadcast variables.
a <- matrix(nrow = 10, ncol = 10, data = rnorm(100))
aBroadcast <- broadcast(sc, a)
normMultiply <- function(x) { norm(aBroadcast$value) * x }
newnormMultiply <- SparkR:::cleanClosure(normMultiply)
env <- environment(newnormMultiply)
expect_equal(ls(env), "aBroadcast")
expect_equal(get("aBroadcast", envir = env, inherits = FALSE), aBroadcast)
})
test_that("varargsToJProperties", {
jprops <- newJObject("java.util.Properties")
expect_true(class(jprops) == "jobj")
jprops <- varargsToJProperties(abc = "123")
expect_true(class(jprops) == "jobj")
expect_equal(callJMethod(jprops, "getProperty", "abc"), "123")
jprops <- varargsToJProperties(abc = "abc", b = 1)
expect_equal(callJMethod(jprops, "getProperty", "abc"), "abc")
expect_equal(callJMethod(jprops, "getProperty", "b"), "1")
jprops <- varargsToJProperties()
expect_equal(callJMethod(jprops, "size"), 0L)
})
test_that("convertToJSaveMode", {
s <- convertToJSaveMode("error")
expect_true(class(s) == "jobj")
expect_match(capture.output(print.jobj(s)), "Java ref type org.apache.spark.sql.SaveMode id ")
expect_error(convertToJSaveMode("foo"),
'mode should be one of "append", "overwrite", "error", "ignore"') #nolint
})
test_that("hashCode", {
expect_error(hashCode("bc53d3605e8a5b7de1e8e271c2317645"), NA)
})
|